Asked by ganesh s
on 2 Dec 2011

hi i have extracted the feature of the 1000 images by using color Correlogram & saved it in a .mat file, now i want to match some query image(consist of .mat file) with this data base by using Euclidean distance for image retrieval.but i don't know how to find the Euclidean distance between 1000 data base images & one query image. thanks

Answer by Junaid
on 2 Dec 2011

Accepted answer

Dear what is the size of your feature vector, if it is column vector then let say your have 1000 feature vector of 1000 images. I denote it by D, where each column is feature vector of each image, in short column represent single image. and your Query image is Q is single column vector.

it can be computed as simple as;

Q= repmat(Q,1,size(D,2)); E_distance = sqrt(sum((Q-D).^2));

now E_distance is euclidean matrix distance. where each cell is distance of Query with database image.

Junaid
on 2 Dec 2011

Q = Q';

once you can do it, then above code will give you Euclidean distance Q with all images. You can plot E_distance to see the result.

ganesh s
on 2 Dec 2011

i already concatenate the all 1000 images in two one column matrix of size(1000x1)with each row represent the extracted image of size(4096x48)now i want to take one query image of size 4096x48(my original image is of size 384x256 after extracting feature by correlogram method it become 4096x48 ) and want to find it's euclidean distance for image retrieval

Answer by divya r
on 15 Jun 2012

How did you concatenate data from multiple matfiles into one? I have done it fr only 2 .mat files, but i am stuck in the logic for multiple .mat files. Could you please help me out with the logic?

Answer by vishalini srithar
on 23 Jan 2015

find the euclidean distance between query and database image in using cbir

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## ganesh s (view profile)

Direct link to this comment:http://www.mathworks.com/matlabcentral/answers/22844#comment_49786

want to find Euclidean distance between 1000 images(.mat file)& one query image (.mat file) in MATLAB